Digital railway twin: 3D simulation of the Deutsche Bahn network

The project  Digital Schiene Deutschland (DSD), promoted by Deutsche Bahn in collaboration with NVIDIA, marks the start of a large-scale implementation of the digital twin for the German rail network. The project aims to build a virtual replica of the entire national railway system, capable of reproducing all operating conditions, traffic scenarios and infrastructural variables in real time.

A virtualized railway network

The network of Deutsche Bahn extends over 33.000 kilometers and includes 5.700 stations. Creating a digital version of this infrastructure involves synchronizing CAD models, geospatial maps, real-time datasets, and vehicle sensors. The framework used is NVIDIA OMNIVERSE, which allows the construction of photorealistic and dynamic environments based on Universal Scene Description (USD).

The developed digital twin integrates data from numerous heterogeneous sources: plans, topographic surveys, sensors installed on rails and convoys, operational information from the network management system (DB Netz). The interface allows to simulate complex conditions such as traffic variations, operational emergencies, congestion or accidents.

Integration between AI and railway simulation

A key component of the project is the application of AI-based perception systems. Predictive models are trained on both real data collected by the network and synthetic data generated through Omniverse Replicator SDKThe latter are used to simulate infrequent but high-impact scenarios, such as extreme weather events or sudden technical failures.

Neural networks trained on this data set enable the implementation of automatic anomaly detection systems. The models are designed to identify non-optimal conditions in real time and propose mitigation strategies, enabling the automation of decision-making processes.

Distributed Computing and Real-Time Visualization

The simulation engine is based on NVIDIA OVX, a hardware platform optimized for parallel processing and management of persistent simulated environments. This allows DSD to keep the digital replica synchronized with real network conditions. Data is transmitted in real time and the model is continuously updated with new inputs.

Through GPU-accelerated ray tracing, designers can observe the behavior of trains, signals and infrastructure with physical precision. The real-time three-dimensional simulation is not only intended for visualization, but also allows the execution of stress test scenarios, flow optimization and redesign of routes based on load projections.

BIM, interoperability and predictive maintenance

One of the declared objectives of the project is the integration between the railway digital twin and BIM (Building Information Modeling) systems) used for the design and management of infrastructure. The union between three-dimensional CAD environments and dynamic operating data opens new perspectives in preventive maintenance and document management.

Model railways can also interact with systems MES (Manufacturing Execution Systems), to provide extended visibility into construction activities, scheduled work, component replacements, and infrastructure upgrades.

Towards an automated railway

One of the goals declared by Deutsche Bahn consists inautomation of the railway network. The digital twin represents the technical and operational support to introduce this transformation. Simulations allow to verify in advance the safety of automated trains, simulating minimum safety distances, overtaking strategies and coordination between routes with heterogeneous traffic levels.

With a model synchronized to the real world, it is possible to apply what-if strategies to test the effects of infrastructure modifications, introduction of new trains or changes in traffic patterns. This approach supports a systemic vision, which is not limited to a single line or station, but includes the entire railway ecosystem.

Efficiency and sustainability

Building a digital twin of this scale contributes to greater efficiency in coordinating railway activities. The ability to optimize routes, avoid congestion and minimize unplanned stops allows for an increase in network capacity, without having to build new physical infrastructure.

The expected result is not only a reduction in operating costs, but also a low environmental impact thanks to a smoother and more predictable management of rail traffic. The algorithms used are designed to suggest circulation patterns that minimize energy consumption, balancing speed, mass of the convoys and load conditions.

Experience in the field of industrial simulations

In the context of the growing spread of digital twin applied to representation of production plants, it is useful to note how some production houses have integrated similar tools into the marketing flows of client companies. Among these, the Studio by Giuseppe Galliano works steadily in the production of 3D technical visualizations for the industrial sector, with a particular focus on media intended for the promotion, training and sale of machines, systems and mechatronic devices. The animations created by the studio include exploded views, semi-transparent renderings (x-ray view) and immersive content adapted for both augmented and virtual reality.

A visit to the pages dedicated to 3D on the site allows you to directly understand what is meant when we talk about 3D industrial animation, without resorting to abstract definitions. There are examples that directly show how a technical piece of data can become an operational communication element. The coordinated use of design models and three-dimensional animation tools allows complex information to be transmitted immediately, maintaining coherence with the original technical data and reducing the need for redundant illustrative material.

Sharing and international interoperability

A further element of interest in the DSD project is the possibility of export and share models and data with other European countries. Standardization of digital assets enables interoperability between different rail networks, contributing to more efficient and coordinated continental mobility.

The diffusion of the railway digital twin beyond national borders is a long-term goal, supported by the adoption of shared frameworks such as USD and by the open specifications of the simulation systems used.

Conclusions

The construction of a railway digital twin, like the one developed by DSD, represents a concrete application of real-time, three-dimensional simulation for infrastructure management on a national scale. The ability to perform dynamic assessments, predict operational criticalities, and test infrastructure improvements in digital environments represents an evolution in the way a complex railway network is planned, monitored, and managed.